Electromyography (EMG) based classification of finger movements using SVM
Myoelectric control prostheses hand are currently popular developing clinical option that
offers amputee person to control their artificial hand by analyzing the contacting muscle …
offers amputee person to control their artificial hand by analyzing the contacting muscle …
[PDF][PDF] Enhancing prediction of prosthetic fingers movement based on sEMG using mixtures of features and random forest
WN Al-Sharu, AM Alqudah - International Journal of Recent …, 2019 - researchgate.net
As the recent development of the prosthetic control systems, it is necessary to develop the
sub-components such as myoelectric control system. This sub-system is used to acquire …
sub-components such as myoelectric control system. This sub-system is used to acquire …
SEMG based recognition of hand motions for lower limb prostheses
K Rajput, K Veer - Current Signal Transduction Therapy, 2022 - ingentaconnect.com
Aim: On multiple muscle locations, Surface Electromyography (sEMG) signals were
recorded to predict the effect of different hand movements. Background: Myoelectric …
recorded to predict the effect of different hand movements. Background: Myoelectric …
Finger movement pattern recognition from surface EMG signals using machine learning algorithms
S Krishnan, R Akash, D Kumar, R Jain… - … 2017: Proceedings of …, 2019 - Springer
Myoelectric signal is one of the most important bio-signals utilized in aiding and abetting
physically disabled humans with the development of prosthetic devices. This work proposes …
physically disabled humans with the development of prosthetic devices. This work proposes …
Leveraging ANN and LDA classifiers for characterizing different hand movements using emg signals
The analysis of electromyographic (EMG) signals has expedited the use of a wearable
prosthetic arm. To this end, pattern recognition-based myoelectric control schemes have …
prosthetic arm. To this end, pattern recognition-based myoelectric control schemes have …
Simple and computationally efficient movement classification approach for EMG-controlled prosthetic hand: ANFIS vs. artificial neural network
H Jahani Fariman, SA Ahmad… - … Automation & Soft …, 2015 - Taylor & Francis
The aim of this paper is to propose an exploratory study on simple, accurate and
computationally efficient movement classification technique for prosthetic hand application …
computationally efficient movement classification technique for prosthetic hand application …
Combination of EMG features and stability index for finger movements recognition
Even though extensive research have been done on electromyogram (EMG) based
prosthetic hand control, relatively lesser attention have been received for control of …
prosthetic hand control, relatively lesser attention have been received for control of …
Evaluation of feature extraction techniques and classifiers for finger movement recognition using surface electromyography signal
Electromyography (EMG) in a bio-driven system is used as a control signal, for driving a
hand prosthesis or other wearable assistive devices. Processing to get informative drive …
hand prosthesis or other wearable assistive devices. Processing to get informative drive …
Finger movements recognition using minimally redundant features of wavelet denoised EMG
Developing prosthetic hands with high functionality and ease of use is the focus of current
research in the area of Electromyogram (EMG) based prosthesis control. Although …
research in the area of Electromyogram (EMG) based prosthesis control. Although …
The effects of the number of channels and gyroscopic data on the classification performance in EMG data acquired by Myo armband
C Tepe, MC Demir - Journal of Computational Science, 2021 - Elsevier
Processing and classification of Electromyography (EMG) signals is a common practice in
prosthetic arm design for hand amputees. This study investigates how reliable classification …
prosthetic arm design for hand amputees. This study investigates how reliable classification …